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🖼️🎞️🔊📄Excited to introduce Composable Diffusion (CoDi), a new generative-AI foundation model that can take any combo of input modalities & generate any combo of output modalities (text, audio, image, video)! Ziyi Yang Chenguang Zhu Mohit Bansal 🧵👇 #CoDi

Zineng Tang

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105,269 görüntüleme • 3 yıl önce •via X (Twitter)

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🔥Excited to introduce CoDi-2! It follows complex multimodal-interleaved in-context instructions to generate any modalities (text, vision, audio) in zero/few-shot interactive way! Ziyi Yang Yang Liu Chenguang Zhu Mohit Bansal 🧵👇

🔥Excited to introduce CoDi-2! It follows complex multimodal-interleaved in-context instructions to generate any modalities (text, vision, audio) in zero/few-shot interactive way! Ziyi Yang Yang Liu Chenguang Zhu Mohit Bansal 🧵👇

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We asked Logan Kilpatrick what stood out most from Google I/O. His answer: Gemini Omni, Google's new multimodal AI model. "The model can take in any input and produce any output. Text, audio, video, image." "You get a bunch of really interesting capability transfer when you bring it all into a single model." Right now the killer use case is video editing. "It's like having a VFX studio on demand."

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Today, we are releasing Stable Video Diffusion, our first foundation model for generative AI video based on the image model, Stable Diffusion. As part of this research preview, the code, weights, and research paper are now available. Additionally, today you can sign up for our waitlist to access a new upcoming web experience featuring a Text-To-Video interface. To access the model & sign up for our waitlist, visit our website here:

Today, we are releasing Stable Video Diffusion, our first foundation model for generative AI video based on the image model, Stable Diffusion. As part of this research preview, the code, weights, and research paper are now available. Additionally, today you can sign up for our waitlist to access a new upcoming web experience featuring a Text-To-Video interface. To access the model & sign up for our waitlist, visit our website here:

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This is a big day. Meta is open-sourcing AudioCraft. You can now generate incredible music and sounds with a single prompt. It includes the most performant Generative AI Model (audio) on the market, the "Llama" of Audio. The research framework contains the weights and code of these models: ▸ MusicGen: controllable text-to-music model. ▸ AudioGen: text-to-sound model. ▸ EnCodec: high fidelity neural audio codec. ▸ Multi Band Diffusion: An EnCodec compatible decoder using diffusion. This is going to tremendously speed up audio research 👏

This is a big day. Meta is open-sourcing AudioCraft. You can now generate incredible music and sounds with a single prompt. It includes the most performant Generative AI Model (audio) on the market, the "Llama" of Audio. The research framework contains the weights and code of these models: ▸ MusicGen: controllable text-to-music model. ▸ AudioGen: text-to-sound model. ▸ EnCodec: high fidelity neural audio codec. ▸ Multi Band Diffusion: An EnCodec compatible decoder using diffusion. This is going to tremendously speed up audio research 👏

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As you know, my explorations of the Gen AI space is ultimately all about creative control. You should be able to shape the generative matter using all your artistic sensibilities and your aesthetic sense. OpenAI's Sora is a huge technological leap, but what excites me the most about it is the modalities where it depends on input other than text alone. Such as video to video. Here's an example of how Sora can change an input video. Base video🧵

As you know, my explorations of the Gen AI space is ultimately all about creative control. You should be able to shape the generative matter using all your artistic sensibilities and your aesthetic sense. OpenAI's Sora is a huge technological leap, but what excites me the most about it is the modalities where it depends on input other than text alone. Such as video to video. Here's an example of how Sora can change an input video. Base video🧵

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We are super excited to share PandaGPT, the first foundation model capable of instruction-following data across six modalities, without the need of explicit supervision. [1/n] Project Page: Demo: Code:

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Video diffusion models generate high-quality videos but are too slow for interactive applications. We MIT CSAIL Adobe Research introduce CausVid, a fast autoregressive video diffusion model that starts playing the moment you hit "Generate"! A thread 🧵

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